Pravalika B

Collaborated with the professor to enhance student learning platform by developing custom Python modules utilizing OpenCV, Scikit, & Numpy, resulting in a 20% increase in student performance.

Worked as a Teaching Assistant for the Database Management System: Design and Implementation course.

Following my impactful role as an analyst with Amazon, I was excited to transition into Business Intelligence engineer. In this role, I became an integral member of the team responsible for data management data building interactive reports. Moreover, my tenure at amazon was relentless pursuit of data driven analysis. Key Achievements: • Led comprehensive data management initiatives, including data gathering from diverse sources like employee experience program teams, and consolidated it using SQL Server and Excel. • Implemented automated ETL procedures via Power Query in Power BI, streamlining analysis and reporting processes. • Created an event - driven architecture using AWS Event Bridge to seamlessly trigger the python functions for real time updates in response to EC2 instances, ensuring immediate application of automated processes without latency issues. • Executed a Python-based Lambda function using Boto3 to automate the tagging of EC2 instances upon creation, significantly reducing manual effort and improving operational efficiency. • Assessed row-level security using python to safeguard sensitive information for 50 users at dynamic and static levels and adhered to Python's best practices to write clean, readable, and maintainable code. • Employed a structured SDLC approach, including requirements gathering, design, development, testing, and deployment, to ensure the successful implementation managing the project lifecycle and meeting project objectives.

Joined Amazon in July 2019 as a Business Intelligence Analyst Intern based in Hyderabad, embarking on a transformative phase of my career. Over the course as an analyst, I seamlessly integrated into a professional setting, actively contributing to real-time data analysis. A notable achievement was, as an integral member of the team, I quickly adapted to the professional setting, engaging myself in the workflow management and operational efficiency. Key Achievements: • Developed a weekly refreshed analytics dashboard using SQL Server (for data preprocessing) and dashboarding, reducing 80% of weekly manual efforts. • Executed the migration of critical reports to the cloud via Power BI; improved report generation efficiency by 40% and enhanced data accessibility for team members across three departments. • Created a systems report to track incidents pending in a service now team using RESTful APIs, Python, EDA and power BI for dashboarding reducing effort by 40%. • Formulated BI Data Lakes using AWS services including S3, EC2, Glue and Quicksight as well as Monitored existing metrics, developing, and proposing new metrics to provide business context to the stakeholders. • Automated ETL procedures, streamlining analysis and reporting process and spearheaded the development of data gateway for seamless content sharing among team members. My association with Amazon marked a pivotal phase in my career journey which furnished me with valuable insights into data analysis. It also served as a dynamic introduction to the corporate environment, further refining my professional skills. Engaging as an analyst, I encountered diverse challenges that fostered continuous learning. This experience significantly enriched my technical prowess and honed my problem-solving abilities.

Courses : Database Management System, Predictive Analytics and Business Forecasting, Data Warehousing, Model Based Business Intelligence, Business Decision Process.

Courses : Python and Data Science Libraries( Numpy, pandas, Seaborn, Matplotlib), DBMS- Database Design and Data Modelling, SQL, NoSQL Databases(MongoDB), Big Data Systems, Data Visualisation, Excel, Tableau, PowerBI, Machine Learning.

Courses- Database Management systems, Data Structures, Computer Programming, Data Communication, Automata and Compiler Design, Web Technologies, Big Data Analytics and Cloud Computing,